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Language Detecting with sklearn by determining Letter Frequencies
/0 Comments/in Big Data, Business Analytics, Data Mining, Data Science, Data Science Hack, Hadoop, Machine Learning, Main Category, Python, Text Mining, Tools, Tutorial /by Christopher KippOf course, there are better and more efficient methods to detect the language of a given text than counting its lettes. On the other hand this is a interesting little example to show the impressing ability of todays machine learning algorithms to detect hidden patterns in a given set of data. For example take the […]
Sentiment Analysis using Python
/1 Comment/in Business Analytics, Business Intelligence, Data Mining, Data Science, Machine Learning, Python, Text Mining, Use Case /by Aakash ChughOne of the applications of text mining is sentiment analysis. Most of the data is getting generated in textual format and in the past few years, people are talking more about NLP. Improvement is a continuous process many product based companies leverage these text mining techniques to examine the sentiments of the customers to find […]
Sentiment Analysis using Python
/0 Comments/in Business Analytics, Business Intelligence, Data Mining, Data Science, Machine Learning, Python, Text Mining, Use Case /by Aakash ChughOne of the applications of text mining is sentiment analysis. Most of the data is getting generated in textual format and in the past few years, people are talking more about NLP. Improvement is a continuous process and many product based companies leverage these text mining techniques to examine the sentiments of the customers to […]
Deep Learning and Human Intelligence – Part 2 of 2
/0 Comments/in Artificial Intelligence, Big Data, Business Analytics, Data Mining, Data Science, Deep Learning, Insights, Machine Learning, Main Category, Predictive Analytics /by Valentin CurtefData dependency is one of the biggest problem of Deep Learning Architectures. This difficulty lies not so much in the algorithm of Deep Learning as in the invisible structure of the data itself. This is part 2 of 2 of the Article Series: Deep Learning and Human Intelligence. We saw that the process of discovering […]
How To Remotely Send R and Python Execution to SQL Server from Jupyter Notebooks
/0 Comments/in Data Mining, Data Science, Data Science Hack, Data Warehousing, Database, Main Category, Python, Python, R Statistics, SQL, Tools, Tutorial /by Kyle WellerIntroduction Did you know that you can execute R and Python code remotely in SQL Server from Jupyter Notebooks or any IDE? Machine Learning Services in SQL Server eliminates the need to move data around. Instead of transferring large and sensitive data over the network or losing accuracy on ML training with sample csv files, you can […]
Interview – The Importance of Machine Learning for the Data Driven Business
/0 Comments/in Artificial Intelligence, Big Data, Business Analytics, Data Mining, Data Science, Deep Learning, Insights, Interviews, Machine Learning, Main Category, Predictive Analytics /by Benjamin AunkoferTo become more data-driven, organizations must mature their analytics and automate more of their decision making processes for innovation and differentiation. Data science seems like the right approach, yet is a new and fast moving field that seems to have as many dead ends as it has high ways to value. Cloudera Fast Forward Labs, […]
Deep Learning and Human Intelligence – Part 1 of 2
/0 Comments/in Artificial Intelligence, Data Science, Deep Learning, Gerneral, Machine Learning, Predictive Analytics /by Valentin CurtefMany people are under the impression that the new wave of data science, machine learning and/or digitalization is new, that it did not exist before. But its history is as long as the history of humanity and/or science itself. The scientific discovery could hardly take place without the necessary data. Even the process of discovering […]
Bringing intelligence to where data lives: Python & R embedded in T-SQL
/0 Comments/in Business Analytics, Business Intelligence, Data Engineering, Data Science, Data Science Hack, Data Science News, Main Category, Python, R Statistics, SQL, Tool Introduction, Tutorial /by Kyle WellerIntroduction Did you know that you can write R and Python code within your T-SQL statements? Machine Learning Services in SQL Server eliminates the need for data movement. Instead of transferring large and sensitive data over the network or losing accuracy with sample csv files, you can have your R/Python code execute within your database. Easily deploy […]
Interview – Python as productive data science environment
/0 Comments/in Insights, Interviews /by Benjamin AunkoferMiroslav Šedivý is a Senior Software Architect at UBIMET GmbH, using Python to make the sun shine and the wind blow. He is an enthusiast of both human and programming languages and found Python as his language of choice to setup very productive environments. Mr. Šedivý was born in Czechoslovakia, studied in France and is […]
OLAP Technology in Business Intelligence
/0 Comments/in Business Analytics, Business Intelligence, Main Category /by Lisa SagalData in Business Intelligence Business processes traditionally comprise three stages of data management: collecting, analyzing, and reporting. First, data should be gathered from all the sources through ETL tools (Extract, Transform, Load). After this, there are often issues occurring connected with data consistency hence the data should be cleaned and structured using the function of […]